Jobs · Engineering

Senior Machine Learning Engineer

Jobright.ai · United States · 4 days ago
RemoteRemoteEngineeringFull-time

This role is part of the Jobright TNT—a private hiring network connecting top talent with top AI startups like Perplexity, Mercor, Cresta, Suno, and 150+ more. Only select, high-signal candidates are invited and recommended directly to hiring teams.

About the role

Cresta is a $1.6B enterprise AI platform born out of the Stanford AI Lab, transforming how Fortune 500 companies run their contact centers.

Responsibilities

  • Build and optimize agentic AI workflows that enable users to dynamically interact with and refine outputs from ML systems
  • Research and implement advanced ML and NLP techniques, including transformer-based models, embeddings, and retrieval-augmented generation
  • Develop evaluation frameworks to assess accuracy, robustness, and usability of ML/LLM models in production environments
  • Design, train, and deploy machine learning models for tasks such as classification, entity identification, information extraction, retrieval, topic discovery, and structured insight generation
  • Architect and optimize RAG pipelines for grounding LLMs with enterprise data to ensure accuracy and reliability
  • Collaborate with engineers, UX designers, and product managers to integrate AI-driven capabilities into Cresta’s platform
  • Optimize ML pipelines and data processing systems to operate efficiently at scale

Requirements

  • Master's or Ph.D. in Computer Science, Machine Learning, AI, or a related field
  • 5+ years of hands-on experience building and deploying ML models in production
  • Strong knowledge of ML frameworks and NLP libraries (e.g., PyTorch, TensorFlow, Hugging Face, spaCy, NLTK)
  • Solid experience with modern ML techniques including transformer architectures, embeddings, retrieval systems, and large-scale model training
  • Experience designing and deploying Retrieval-Augmented Generation pipelines for enterprise use cases
  • Familiarity with evaluation and benchmarking frameworks for ML/LLM models
  • Strong passion for AI-driven innovation, with a proven ability to deliver impactful, production-grade solutions

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